12 citations · 12 across the 5 of their papers we have counts for
6 papers · 1 filter
Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation
Jun Zhou, Kai Chen, Linlin Xu +2
One critical challenge in 6D object pose estimation from a single RGBD image is efficient integration of two different modalities, i.e., color and depth. In this work, we tackle th…
Dynamic Clustering Transformer Network for Point Cloud Segmentation
Dening Lu, Jun Zhou, Kyle Yilin Gao +4
Point cloud segmentation is one of the most important tasks in computer vision with widespread scientific, industrial, and commercial applications. The research thereof has resulte…
3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification
Dening Lu, Qian Xie, Linlin Xu +1
Although accurate and fast point cloud classification is a fundamental task in 3D applications, it is difficult to achieve this purpose due to the irregularity and disorder of poin…
The impact of data volume on performance of deep learning based building rooftop extraction using very high spatial resolution aerial images
Hongjie He, Ke Yang, Yuwei Cai +15
Building rooftop data are of importance in several urban applications and in natural disaster management. In contrast to traditional surveying and mapping, by using high spatial re…
DML-GANR: Deep Metric Learning With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval
Yun Cao, Yuebin Wang, Junhuan Peng +4
With a small number of labeled samples for training, it can save considerable manpower and material resources, especially when the amount of high spatial resolution remote sensing…
Quantization in Relative Gradient Angle Domain For Building Polygon Estimation
Yuhao Chen, Yifan Wu, Linlin Xu +1
Building footprint extraction in remote sensing data benefits many important applications, such as urban planning and population estimation. Recently, rapid development of Convolut…